Triple

T20463059
Position Surface form Disambiguated ID Type / Status
Subject Victorian Electoral Commission E501975 entity
Predicate shortName P43 FINISHED
Object VEC
VEC is the independent statutory authority responsible for conducting state and local government elections and managing electoral processes in Victoria, Australia.
 E1433256 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: VEC | Statement: [Victorian Electoral Commission, shortName, VEC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VEC
Context triple: [Victorian Electoral Commission, shortName, VEC]
  • A. VEC
    VEC is the vehicle registration code used on license plates for vehicles registered in the District of Vechta in Lower Saxony, Germany.
  • B. vec
    vec is the ISO 639-3 code for the Venetian language, a Romance language spoken primarily in the Veneto region of Italy and surrounding areas.
  • C. VECC
    VECC is the ICAO airport code for Netaji Subhas Chandra Bose International Airport in Kolkata, India.
  • D. VES
    VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
  • E. VES
    VES is the ISO 4217 currency code for the Venezuelan bolívar, the official currency of Venezuela.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VEC
Triple: [Victorian Electoral Commission, shortName, VEC]
Generated description
VEC is the independent statutory authority responsible for conducting state and local government elections and managing electoral processes in Victoria, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VEC
Target entity description: VEC is the independent statutory authority responsible for conducting state and local government elections and managing electoral processes in Victoria, Australia.
  • A. VEC
    VEC is the vehicle registration code used on license plates for vehicles registered in the District of Vechta in Lower Saxony, Germany.
  • B. vec
    vec is the ISO 639-3 code for the Venetian language, a Romance language spoken primarily in the Veneto region of Italy and surrounding areas.
  • C. VECC
    VECC is the ICAO airport code for Netaji Subhas Chandra Bose International Airport in Kolkata, India.
  • D. VES
    VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
  • E. VES
    VES is the ISO 4217 currency code for the Venezuelan bolívar, the official currency of Venezuela.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a88374819087e7b97c83074d2c completed April 20, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b16be8081909bcce2bbe7510871 completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c75b09081908a35bc7a9b6a45ce completed May 16, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a088d8c3ab08190a399dba52e3c99f5 completed May 16, 2026, 3:30 p.m.
Created at: April 16, 2026, 11:33 a.m.